Business Data Analyst

The Business Data Analyst education plan focuses on developing leadership and data analysis capabilities in students at all levels in organizations. The Business Data Analyst will design, develop, implement, and maintain business solutions for information delivery. In addition to very strong technical skills, the student will have superb business process analysis and interpersonal skills, the ability to extract and analyze data patterns, and the ability to synthesize the data into information consumable by senior business decision makers.

The Anoka Technical College Business Data Analyst Associate of Applied Science (AAS) degree is a 60-credit program that focuses on graduates receiving the knowledge an skills necessary for employment and growth in entry-level business intelligence and data analyst professions. They will assist in the process of inspecting, cleansing, testing and transforming data. Graduates will also help interpret the visualize the data using various software tools and techniques to provide support in all decision making phases. Graduates gain a solid understanding of information technology and applications used to support decision making. Program graduates will have the opportunity to interact and work with various functional managers in all parts of the company.

Prerequisites

Some courses may require appropriate test score or completion of basic math, basic English and/or reading courses with a “C” or better.

Graduation Requirements

All Anoka Technical College students seeking an Associate of Applied Science (AAS) degree, diploma or certification must meet the grade point average (GPA) of 2.0 or higher. Please contact your advisor for any further program graduation requirements.

Transfer Opportunities

To see how this may transfer into other Anoka Technical College program or into another college. Please visit:

Industry Description

Businesses are investing big-time in data analysis. Spending on big data and analytics will increase from $10 billion in 2012 to more than $32 billion in 2017, according to International Data Corporation. In context, that’s approximately six times the growth rate of the overall information and communication technology market. (Minnesota Business Magazine)

Data Scientist 80-20 rule- 80% of the time is data mining, and setting up the data to be analyzed, and 20% of the time is doing the analytical forecasting.

Closet occupational field is Data Analyst, which is expected to grow 20-28 percent. As markets become more competitive, firms will need to use resources more efficiently. (US Department of Labor, 2012)

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